Nadia K. Litterman

About

Nadia K. Litterman is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Nadia K. Litterman has authored 20 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Computational Theory and Mathematics and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Nadia K. Litterman’s work include Computational Drug Discovery Methods (7 papers), Bioinformatics and Genomic Networks (4 papers) and Pharmacogenetics and Drug Metabolism (3 papers). Nadia K. Litterman is often cited by papers focused on Computational Drug Discovery Methods (7 papers), Bioinformatics and Genomic Networks (4 papers) and Pharmacogenetics and Drug Metabolism (3 papers). Nadia K. Litterman collaborates with scholars based in United States, United Kingdom and Australia. Nadia K. Litterman's co-authors include Lee L. Rubin, Richard Lee, Amy J. Wagers, Francesco S. Loffredo, Lida Katsimpardi, Gregory R. Wojtkiewicz, John W. Chen, Christine Miller, Sean Ekins and Anne‐Frances Miller and has published in prestigious journals such as Science, Journal of the American Chemical Society and Journal of Neuroscience.

In The Last Decade

Co-authorship network of co-authors of Nadia K. Litterman i

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Fields of papers citing papers by Nadia K. Litterman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nadia K. Litterman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nadia K. Litterman. The network helps show where Nadia K. Litterman may publish in the future.

Countries citing papers authored by Nadia K. Litterman

Since Specialization

Citations

This map shows the geographic impact of Nadia K. Litterman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nadia K. Litterman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nadia K. Litterman more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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